atinesh-s / Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
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Machine learning-Stanford University
Matlab code for machine learning algorithms in book PRML
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Faster R-CNN
Robotics Toolbox for MATLAB
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
Solutions to Andrew NG's machine learning course on Coursera
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
基本遗传算法MATLAB程序
Contains the Course Material and Assignment Solutions for the Machine Learning Course at Stanford University on Coursera.
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Programming Exercises on http://ml-class.org
2004-2020美赛O奖论文